Volume 9 | Issue 6 |

 Abstract

The proposed paper discusses on the possibilities of transmitting power wirelessly over certain small distances for a load of 50W (maximum 75W). The system consists of mainly five blocks namely: AC-DC rectifier, DC-AC high frequency inverter, resonating circuits, DC-AC high frequency rectifier and a closed loop buck converter. This particular system is designed to operate in the radio frequency bandwidth of 25kHz to 150kHz. The system is designed keeping in mind applications such as very low power electric cycle and laptop chargers. This concept can be extended for mid-range WPT systems mainly wireless EV charging by changing few devices.

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 Keywords

WPT, PTC, DC-AC High Frequency Inverter, Buck Converter, Wireless EV Charging

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

: In Ayurveda Various Acharyas give explanation about Prameha. The description in Ayurveda text shows marked similarity of Prameha Rupa and type 2 Diabetes Mellitus. It is characterized by polyurea, burning sensation in palm, polyuria, unexplained weight gain, polydipsia. According to Ayurveda it is a Tridoshajavyadhi (mainly kapha Pradhan) and Meda, Sweda is the main Dushya. The general prevalence of type 2 diabetes mellitus (pre diabetes) is 11.8%. A 50 years old male having chronicity of 10 years for type 2 diabetes mellitus came for consultation in OPD of Ayurved hospital For complaints of Karpaddaha, Atiswedpravrutti, Shlathangatwam, Pipasativridhi since last 1 month. The line of treatment given to the patient includes Dipan, Amapachak, Kaphanashak, Guru Apatarpanjanya. The Ayurved classics i.e. Bruhat Nighantu Ratnakar has advised Abhrakadi Yoga for management of Prameha. Good result was observed on Karapaddaha (70%), Shlathangatwam (65%), Atisweda (60%) Bharvridhi (10%). by the treatment regimen FBS was 180mg/dl which was reduced by 113mg/dl, PPBS was 230mg/dl which was reduced by 164 mg/dl after 45days of treatment and urine sugar became nil which was in traces before the treatment. Significant result was noted on subjective and objective parameters by Abhrakadi Yoga and Pathyapalana. This approach may be taken into consideration for further treatment and Research work of Prameha.

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 Keywords

Prameha, type 2 diabetes mellitus, Abhrakadi Yoga.

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 Abstract

294 Ashirwad R.K.Extension Stand road sangli , maharashtra

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CAD, Catia, GUI, Macros, Design, Parametric modeling, two stage spur gearbox

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Creative Commons Attribution 4.0 and The Open Definition

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E-learning has transformed the education sector in a drastic way. With the sudden shift away from the traditional classroom due to the pandemic, there is a dire need to implement e-learning for the benefit of both the learner and the educator. Keeping in mind the vast scope of e-learning, the paper will be an attempt to redefine the role of the educator and the learner in e-learning, the usage of the terminology, the fundamental perspectives while also highlighting the advantages and the disadvantages particularly in reference to the state of Nagaland.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

E-learning, Education, Learning, Teaching, Technology

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Smart Traffic Monitoring and Controlling Using IOT and Cloud is a cornerstone of a Smart city. In the current problems of the world, urban mobility is one of the major problems, especially in metropolitan cities. ... An algorithm is used to predicts the traffic density for future to minimize the traffic congestion.

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Hardware nd Software

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 Abstract

This paper establishes a forecasting framework to predict the prices of stocks. The project seek to utilise Deep Learning Models, Long-Short Term Memory (LSTM), Neural Network Algorithm to predict stock prices.

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Deep Learning Models, LSTM, Neural Network Algorithm

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

COVID-19 is an infectious disease caused by a newly discovered corona virus. The pandemic has become the cause for a dramatic loss of human life. Though there are various vaccines that are being manufactured for coronavirus, lakhs of cases are still arising worldwide. So, to prevent the spread of the pandemic, quick and effective testing is necessary. Many researches have recently shown that chest x-rays are found to be highly predictive of COVID-19. Though the chest X-Rays cannot solely be used for determining COVID-19, the persons with positive results could be quickly isolated due to the instantaneous nature of the chest X-Ray testing. In this work, we are trying to predict whether a person has COVID-19 from their chest X-Ray image by image classification using Convolutional Neural Networks learning.

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 Keywords

Chest X-Ray, COVID-19, Corona Virus, Convolutional Neural Networks, Machine Learning, Deep Learning

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 Abstract

India has an estimated 77 million people with diabetes, which makes it second most affected in the world, after China. The number is projected to grow by 2045 to become 134 million by the International Diabetes Federation. Diabetic Retinopathy is one of the many side effects of Diabetes. Up to 21% patients with the type 2 Diabetes have retinopathy at the time of first diagnosis of Diabetes, and most develop some degree of retinopathy over time. Diabetic Retinopathy is a complication of Diabetes that affects the eyes. It is caused by the damage of the blood vessels in the tissue at the back of the eye(retina). It is generally observed, especially in the rural areas, that people consult the doctor only after their vision become blurred and they start to experience blindness, which is the third or fourth stage. At this stage, it becomes difficult to treat the patient after the retina has fully damages. This paper will provide all the guidelines for detecting DR of any fundus image.

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 Keywords

Diabetic Retinopathy, Microaneurysms, Hemorrhages, Exudates, Support Vector Machine.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Key words: MGNREGA, Education, Rural migration, Performance, India

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The eye is the most important sense organ which enables us to see the world. Ocular eye diseases are some of the major problems for vision. In this ocular eye disease comes the most common disease, Cataract. Cataract is a misty form that affects the vision of the eye which causes blurriness. It is mostly found in elderly people due to their age. Computer-aided diagnosis is a bit complicated task for the detection of ocular eye diseases. In the present paperwork, we predict the ocular eye diseases based on Machine Learning algorithms which include Convolution Neural Networks (CNN) and image pre-processing. The accuracy of the outcome is displayed through the confusion matrix.

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 Keywords

Cataract; Detection; Convolution Neural Networks (CNN); Image pre- processing; Confusion matrix

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Creative Commons Attribution 4.0 and The Open Definition